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Articles by M. Necat Oren
Total Records ( 2 ) for M. Necat Oren
  Tuna Alemdar and M. Necat Oren
  This study estimates technical efficiencies of wheat growing farmers in Southeastern Anatolia region of Turkey using both parametric and non-parametric methods. The empirical application uses farm level data collected from 75 farms following 2003/2004 growing season. According to the results of the Data Envelopment Analysis (DEA) model, mean efficiencies of wheat growing farmers were estimated to be 0.72 and 0.79 for constant and variable returns to scale (CRS and VRS) assumptions respectively. Predicted technical efficiencies with stochastic frontier model vary widely among farms, ranging between 0.34 and 0.93 and a mean technical efficiency of 0.73. A strong correlation was found between the results obtained with output oriented CRS-DEA and stochastic frontier model. Based on these results, sample wheat producers could increase their output by 21-27% through better use of available resources. Further studies are required in order to determine causes of inefficiencies.
  Ozlem Esturk and M. Necat Oren
  Food insecurity is the situation where people do not have access to sufficient, stable and safe food that meets their dietary needs for an active and healthy life. The objective of this study was to determine the status of food security in the Adana metropolitan area by using, for the first time in Turkey, Household Food Security Survey Module (HFSS). Household’s food security levels and socio-economic factors affecting the food security were analyzed using the ordered logistic regression technique. The household food security level surveys in the Adana metropolitan area indicated that hunger was not in a serious condition, however food insecurity was critical. While the rate of food insecurity in households with children was 69%, food insecurity rate of households without children was 39.6%. It was a highly worrisome situation that hunger and food insecurity rates were more frequent in households with children. In this study, it has been found that among the socio-economic variables, the income level was the most decisive variable for food security. The gender of household head, employment status, education level and household count were the other variables affecting food security.
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